Genomic lesions associated with a different clinical outcome in diffuse large B-Cell lymphoma treated with R-CHOP-21

M. Scandurra, M. Mian, T. C. Greiner, P. M. V. Rancoita, C. P. de Campos, W. C. Chan, J. M. Vose, E. Chigrinova, G. Inghirami, A. Chiappella, L. Baldini, M. Ponzoni, A. J. M. Ferreri, S. Franceschetti, G. Gaidano, S. Montes-Moreno, M. A. Piris, F. Facchetti, A. Tucci, J. Fr. NomdedeuT. Lazure, O. Lambotte, S. Uccella, G. Pinotti, G. Pruneri, G. Martinelli, K. H. Young, M. G. Tibiletti, A. Rinaldi, E. Zucca, I. Kwee, F. Bertoni

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42 Citations (Scopus)


Despite recent therapeutic improvements, the clinical course of diffuse large B-cell lymphoma (DLBCL) still differs considerably among patients. We conducted this retrospective multi-centre study to evaluate the impact of genomic aberrations detected using a high-density genome wide-single nucleotide polymorphism-based array on clinical outcome in a population of DLBCL patients treated with R-CHOP-21 (rituximab, cyclophosphamide, doxorubicine, vincristine and prednisone repeated every 21_d). 166 DNA samples were analysed using the GeneChip Human Mapping 250K NspI. Genomic anomalies were analysed regarding their impact on the clinical course of 124 patients treated with R-CHOP-21. Unsupervised clustering was performed to identify genetically related subgroups of patients with different clinical outcomes. Twenty recurrent genetic lesions showed an impact on the clinical course. Loss of genomic material at 8p23.1 showed the strongest statistical significance and was associated with additional aberrations, such as 17p- and 15q-. Unsupervised clustering identified five DLBCL clusters with distinct genetic profiles, clinical characteristics and outcomes. Genetic features and clusters, associated with a different outcome in patients treated with R-CHOP, have been identified by arrayCGH.
Original languageEnglish
Pages (from-to)221-231
Number of pages11
JournalBritish Journal of Haematology
Issue number3
Publication statusPublished - 2010


  • prognosis, lymphoma, comparative genomic hybridization, microarray, hepatitis C virus


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